• Journal of Technology Innovation
• /
• v.24 no.3
• /
• pp.139-159
• /
• 2016

The purpose of this study is to find out the factors which promoting career development of scientist and engineer laborforce. We made up three logit analysis models to figure out the factors affecting the career of scientist and engineer laborforce. Dependent variables were composed of job attributes in 2011, current job attribute, changing of working conditions, efforts of job seeking, university education, and personal characters. Three analysis model were composed of demand side model which including job attributes factors, supply side model which focus on employment or university education characters and total model including the demand and the supply factors. The results showed a stable career to the development of scientist and engineer laborforce's job attributes on the demand side than the supply side, such as a college education even more important. After all, the initial stable jobs and good matching policy were the most important policies to be seated in the science and engineering professions.

• The Journal of the Korea Contents Association
• /
• v.18 no.9
• /
• pp.320-334
• /
• 2018

The purpose of this study is to examine the effect of take-out food selection attributes of Korean restaurant on trust and customer satisfaction and to analyse the mediating effects of trust. Collected data were statistically analyzed by frequency analysis, factor analysis, reliability analysis, correlation analysis and covariance structure analysis using SPSS 22.0 and AMOS 22.0. The results of this study are as follows: First, selection attributes consists of safety, convenience, quality of food and economics. Among selection attributes, safety, convenience, quality of food and economics had a significant influence on trust. Second, among selection attributes, safety, convenience, quality of food and economics had a significant influence on customer satisfaction. Third, trust had a significant influence on customer satisfaction. Fourth, trust had a mediating effect between selection attributes and customer satisfaction. The conclusion section suggested strategic implications to induce selection attributes, trust and customer satisfaction based on the findings.

• Journal of the Economic Geographical Society of Korea
• /
• v.12 no.2
• /
• pp.159-178
• /
• 2009

The purpose of the current study was to evaluate the importance-performance levels for the selection attributes of spa destination and to analyze the gap between importance levels of the selection attributes. The data were collected from the spa visitors to Yuseong spa complex. The findings of the current study were as belows: 1. as the results of factor analysis of 32 selection attributes, five factors were generated, such as "spa and supporting facilities", "surrounding conditions around spa resort", "friendship and the intention of recommendation", "spa water" and "fees of spa entry". 2. the mean analysis showed the statistically significant difference among the selection attributes for importance-performance levels and the mean levels of five factors were rank-ordered as in "spa and supporting facilities", "friendship and the intention of recommendation", "fees of spa entry", and "surrounding conditions around spa resort", "spa water". 3. as the results of IPA, the selection attributes were distributed as belows: 9 attributes were located in I (Keep up the Good Work), 4 attributes were located in II (Possible Overkill), 7 attributes were located in III (Concentrate Here). and 12 attributes were located in IV (Low Priority).

• Journal of The Korean Association For Science Education
• /
• v.29 no.8
• /
• pp.812-823
• /
• 2009

The purpose of this study is to search effective assessments methods by using the Fusion model of Cognitive diagnosis theory. Attributes are skills or cognitive processes that are required to perform correctly on a particular item. After test items were developed, item's attributes were decided and Q-matrix about item's attributes was made. After testing, the result was analyzed according to gender and achievement level. The results of the analysis showed that students mastered 'Interpreting data' best, and 'synthesizing' worst among the five attributes. Female students showed higher ability than male students in 'recalling.' Students of high achievement level mastered more scientific attributes than students of low achievement level. Conventional assessments only provided a single summary score but Cognitive diagnosis modeling provided useful information by estimating individual knowledge states by assessing whether an examinee has mastered specific attributes measured by the science test. The skill profiles can offer a skill level of strong, weak, or mixed for each student for each skill. Therefore, the skill profiles will provide useful diagnostic information in addition to single overall scores.

• Proceedings of the Korean Information Science Society Conference
• /
• 2001.04b
• /
• pp.244-246
• /
• 2001

최근 군집화와 분류기법이 데이터 마이닝에 중요한 도구로 많은 응용분야에 사용되고 있다. 따라서 이러한 기법을 이용하는데 있어서 각각의 속성의 중요도가 달라 중요하지 않은 속성에 의해 중요한 속성이 왜곡되거나 때로는 마이닝의 결과가 잘못되는 결과를 얻을 수 있으며, 또한 전체 데이터를 사용할 경우 마이닝 과정을 저하시키는 문제로 속성 가중치과 속성선택에 과한 연구가 중요한 연구의 대상이 되고 있다. 최근 연구되고 있는 알고리즘들은 사용자의 의도와는 상관없이 데이터간의 관계에만 의존하여 가중치를 설정하므로 사용자가 마이닝 결과를 쉽게 이해하고 분석할 수 없는 문제점을 안고 있다. 본 논문에서는 클래스 정보가 있는 데이터뿐 아니라 클래스 정보가 없는 데이터를 분석할 경우 사용자의 의도에 따라 학습할 수 있도록 각 가중치를 부여하는 속성가중치 알고리즘을 제안한다. 또한 사용자가 의도한 정보를 이용하여 속성간의 가장 최적화 된 가중치를 찾아주며, Cramer's $V^2$함수를 적합도 함수로 하는 유전자 알고리즘을 사용한다. 알고리즘의 타당성을 검증하기 위해 전자상거래상의 실험 데이터와 몇 가지 벤치마크 데이터를 이용하여 본 논문의 타당성을 보인다.

• Proceedings of the Korean Statistical Society Conference
• /
• 2000.11a
• /
• pp.201-205
• /
• 2000

사회적 연결망 분석은 사회학에서 양적 분석방법과 질적 분석방법이 함께 안고 있는 문제, 즉 사회적 실체를 관계에 우선하여 측정하고 분석함으로써, 사회적 관계가 부차적이고 파생적으로 인식되는 문제를 해결하는 방안으로 제안되었다. 연결망 분석은 개인 혹은 집단과 조직간의 관계에 대한 형식적 접근을 통해 그 전반적 혹은 부분적 특성을 분석하는 방법으로, 사회적 구조의 발현적 속성에 초점을 맞춘다. 조직간의 연결망에 대한 분석을 통해 조직의 성과가 조직 자체의 속성 뿐 아니라 조직간의 관계의 속성에 의존함이 밝혀졌다.

• Economic and Environmental Geology
• /
• v.57 no.1
• /
• pp.51-71
• /
• 2024

Seismic exploration is one of the widely used geophysical exploration methods with various applications such as resource development, geotechnical investigation, and subsurface monitoring. It is essential for interpreting the geological characteristics of subsurface by providing accurate images of stratum structures. Typically, geological features are interpreted by visually analyzing seismic sections. However, recently, quantitative analysis of seismic data has been extensively researched to accurately extract and interpret target geological features. Seismic attribute analysis can provide quantitative information for geological interpretation based on seismic data. Therefore, it is widely used in various fields, including the analysis of oil and gas reservoirs, investigation of fault and fracture, and assessment of shallow gas distributions. However, seismic attribute analysis is sensitive to noise within the seismic data, thus additional noise attenuation is required to enhance the accuracy of the seismic attribute analysis. In this study, four kinds of seismic noise attenuation methods are applied and compared to mitigate random noise of poststack seismic data and enhance the attribute analysis results. FX deconvolution, DSMF, Noise2Noise, and DnCNN are applied to the Youngil Bay high-resolution seismic data to remove seismic random noise. Energy, sweetness, and similarity attributes are calculated from noise-removed seismic data. Subsequently, the characteristics of each noise attenuation method, noise removal results, and seismic attribute analysis results are qualitatively and quantitatively analyzed. Based on the advantages and disadvantages of each noise attenuation method and the characteristics of each seismic attribute analysis, we propose a suitable noise attenuation method to improve the result of seismic attribute analysis.

• Journal of The Korean Association For Science Education
• /
• v.35 no.2
• /
• pp.267-275
• /
• 2015

This research purports to find out the characteristics of Korean students cognitive attributes and compare it with that of high-achieving countries who took TIMSS 2011 based on the Cognitive Diagnostic Theory. Based on TIMSS 2011 Science framework, nine cognitive attributes were extracted and the researcher analyzed that 216 of the TIMSS 2011 science items require these attributes. This analysis was conducted to come up with a Q-matrix. After producing the Q-matrix, multi-level IRT was used to figure out each countries' characteristics for each of the cognitive attribute. According to the study results, four attributes, such as 'Use Models,' 'Interpret Information,' 'Draw Conclusions,' and 'Evaluate and justify' were easier attributes for Korean middle school students. However, the other five attributes such as 'Recall/Recognize', 'Explain', 'Classify', 'Integrate', 'Hypothesize and Design' were considered as harder attributes compared to other countries. Korean students also considered 'Interpret Information' as the easiest attributes, and 'Explain' as the hardest attributes of all. For Korean students, those attributes considered to be easy were the easiest and hard attributes as the hardest compared to other countries, showing very extreme cases. Therefore, to give students more meaningful learning experience, it is better to use all the attributes altogether rather than use specific attributes while constructing Science curriculum or textbooks.

• Journal of KIISE
• /
• v.43 no.11
• /
• pp.1270-1274
• /
• 2016

Logistic regression is widely used for predicting and estimating the relationship among variables. We propose a new logistic regression model, the value weighted logistic regression, which comprises of a fine-grained weighting method, and assigns adapted weights to each feature value. This gradient approach obtains the optimal weights of feature values. Experiments were conducted on several data sets from the UCI machine learning repository, and the results revealed that the proposed method achieves meaningful improvement in the prediction accuracy.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2006.11a
• /
• pp.669-672
• /
• 2006

본 연구팀은 유비쿼터스 게임 플랫폼을 위한 Embedded C++ 컴파일러를 개발하였으며, 컴파일러 개발 과정에서 객체지향언어인 C++과 Java 언어를 모두 수용할 수 있는 심벌 테이블을 설계하였다. 심벌 테이블은 컴파일러의 어휘 분석과 구문 분석 과정을 거친 후 SDT(syntax-directed translation)에 의해 생성된 AST(Abstract Syntax Tree)를 분석하여 인식된 명칭(identifier)과 그 속성(attribute)들을 수집하여 저장하는 자료구조로써, 심벌 테이블에 저장된 속성들은 의미 분석(semantic analysis) 단계에서 수집된 속성과 참조된 명칭의 사용이 타당한지를 검사하고, 코드 생성(code generation) 단계에서 올바른 코드가 생성되도록 하는 중요한 요소이다. 따라서 심벌 테이블의 설계가 올바른지와 입력된 속성이 정확한지에 대한 검증과 분석은 필수 불가결하다. 본 논문에서는 컴파일러 개발과정에서 설계한 심벌 테이블을 검증하고 분석하기 위한 목적으로써 심벌 테이블을 이용하여 선언문을 복원시키는 역번역기(detranslator)에 대하여 기술한다. 구현된 역번역기는 C++ 컴파일러와 Java 컴파일러의 선언문 처리 과정에서 심벌 테이블에 입력된 속성들을 본래의 입력 프로그램으로 역번역한다. 따라서 역번역기를 통하여 심벌 테이블의 완전성과 심벌 테이블에 입력된 속성 정보의 정확성을 쉽게 검증할 수 있으며, 역번역과 함께 출력되는 디버그 정보를 이용하여 효율적으로 컴파일러의 개발과 수정을 할 수 있다.